RNAsmc
RNAsmc detects and quantitatively compares RNA secondary structure (RSS) motifs to characterize structural heterogeneity and functional variation.
Key Features:
- Structural Motif Detection and Quantification: Identifies RSS motifs, scores similarity among structural components, and quantifies variations associated with single nucleotide variants (SNVs), single nucleotide polymorphisms (SNPs), insertions, and deletions.
- Robust Comparative Analysis: Maintains performance across variable sequence lengths, folding protocols, and chemical probing–derived structural profiles, enabling detection of RiboSNitches and evaluation of allosteric effects.
Scientific Applications:
- RNA Family Clustering and Functional Analysis: Clusters RNA families based on structural heterogeneity and assesses structure–function relationships in gene regulation and RNA stability.
Methodology:
RNAsmc applies a dynamic alignment framework to compare RSS motifs across sequences, enabling precise structural similarity scoring and clustering despite sequence variability and experimental noise.
Topics
Details
- License:
- GPL-2.0
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- R
- Added:
- 3/18/2023
- Last Updated:
- 11/24/2024
Operations
Data Inputs & Outputs
Gene expression profiling
Inputs
Outputs
Publications
Wang H, Lu X, Zheng H, Wang W, Zhang G, Wang S, Lin P, Zhuang Y, Chen C, Chen Q, Qu J, Xu L. RNAsmc: A integrated tool for comparing RNA secondary structure and evaluating allosteric effects. Computational and Structural Biotechnology Journal. 2023;21:965-973. doi:10.1016/j.csbj.2023.01.007. PMID:36733704. PMCID:PMC9876829.